Can I trigger an API check manually through the agent?

Yes! Use the `trigger_check_run` tool with the unique check ID. The agent will instruct Checkly to run the test immediately from its global network.

How do I see the performance metrics for my homepage check?

Use the `get_check_performance_metrics` tool with the check ID. Your agent will fetch detailed analytics including success rates and response time percentiles.

Where do I find my Checkly API Key and Account ID?

Log in to your Checkly account and navigate to **User Settings -> API Keys** for the key. The **Account ID** can be found in the **Account Settings** section.

Checkly MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Checkly
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Checkly as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="checkly_agent",
    instruction=(
        "You help users interact with Checkly "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Checkly MCP Server

Connect your Checkly account to any AI agent and take full control of your application monitoring and synthetic testing through natural conversation. Streamline how you ensure the uptime and performance of your APIs and web apps.

Google ADK natively supports Checkly as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Check Oversight — List and retrieve details for all API and Browser monitors natively
Live Execution — Manually trigger check runs to verify system health on-demand flawlessly
Performance Intelligence — Access detailed performance metrics and response times for any monitor securely
Alert Management — List and audit all configured alert channels (Slack, Email, PagerDuty) flawlessly
Reliability Tracking — Monitor heartbeat and cron jobs to ensure your background tasks are running flawlessly
System Metadata — Retrieve core account information and organizational structures directly within your workspace

The Checkly MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Checkly to Google ADK via MCP

Follow these steps to integrate the Checkly MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Checkly via MCP

Why Use Google ADK with the Checkly MCP Server

Google ADK provides unique advantages when paired with Checkly through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Checkly

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Checkly tools with BigQuery, Vertex AI, and Cloud Functions

Checkly + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Checkly MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Checkly and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Checkly tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Checkly regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Checkly

Checkly MCP Tools for Google ADK (8)

These 8 tools become available when you connect Checkly to Google ADK via MCP:

get_check_details

Get detailed information for a specific check

get_check_performance_metrics

Retrieve performance metrics for a specific check

get_checkly_account_info

Retrieve core account and organization metadata

list_check_groups

List groups of checks

list_checkly_alert_channels

List all configured alert channels (Slack, Email, PagerDuty, etc)

list_checkly_checks

List all API and Browser checks

list_checkly_heartbeats

List all heartbeat (cron) monitors

trigger_check_run

Manually trigger a check to run immediately

Example Prompts for Checkly in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Checkly immediately.

"List all my monitors in Checkly and their last status."

"Show me the response time graph for the 'Checkout Flow' check."

"Check the status of my heartbeat monitors."

Troubleshooting Checkly MCP Server with Google ADK

Common issues when connecting Checkly to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Checkly + Google ADK FAQ

Common questions about integrating Checkly MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.